动态多值背景下的概念格在网络中的应用

针对搜索引擎检索网站信息存在的一些问题—信息资源相对丰富而知识比较匮乏,文中提出动态背景下的概念格,用于抽取网络信息资源中潜在的有价值的知识。基于web文本的信息特性是不断变化的,在处理过程中,先把动态多值背景转化为静态多值背景,然后在转化成单值背景。在利用概念格的hasse图抽取隐藏在网络信息资源中潜在的有价值的知识。

Application of the concept lattice based on Dynamic multi-valued context in network

For some problems hidden from Search Engines website information-information resources are rich but the knowledge is relative lack.This paper presents concept lattices based on the dynamic context which extract the potential value knowledge from the network information resources.First we change Dynamic Multi-valued context into static Multi-valued context,then into single-valued context.At last we extract the potential value of knowledge from the network information resources by the use of Hasse graph of concept lattices.